Case Study: a large insurance company streamlines data management with Fractal

Manage data size and complexity with a single data delivery platform

The customer, a large insurance company, faced significant challenges in leveraging its vast policy quote data for analysis. The data's sheer size and complexity, coupled with a lack of automated delivery and inefficient extractors, rendered it unusable and created conflicts with their new data strategy. They partnered with analytics firm Fractal to streamline data access and achieve analytical efficiency.

Fractal implemented an integrated data solution by ingesting and partitioning the data into a Hadoop platform. They developed a custom Flask UI to automate data extraction, convert XML to CSV, and process information using MapReduce and Spark. This provided the insurance company with a unified, production-grade data platform. The results included centralized data for enhanced analytics, streamlined access that replaced a multi-layered architecture, and significantly improved process efficiency for the business teams.